Regular Expressions

 # pickle

# Use requests module to download the iris dataset




import re

mystr = '''Tata Limited

Dr. David Landsman, executive director

18, Grosvenor Place

London SW1X 7HSc

Phone: +44 (20) 7235 8281

Fax: +44 (20) 7235 8727

Email: tata@tata.co.uk

Website: www.europe.tata.com

Directions: View map


Tata Sons, North America

1700 North Moore St, Suite 1520

Arlington, VA 22209-1911

USA

Phone: +1 (703) 243 9787

Fax: +1 (703) 243 9791

66-66

455-4545

Email: northamerica@tata.com 

Website: www.northamerica.tata.com

Directions: View map fass

harry bhai lekin

bahut hi badia aadmi haiaiinaiiiiiiiiiiii'''


# findall, search, split, sub, finditer

# patt = re.compile(r'fass')

# patt = re.compile(r'.adm')

# patt = re.compile(r'^Tata')

# patt = re.compile(r'iin$')

# patt = re.compile(r'ai{2}')

# patt = re.compile(r'(ai){1}')

# patt = re.compile(r'ai{1}|Fax')



# Special Sequences

# patt = re.compile(r'Fax\b')

# patt = re.compile(r'27\b')

patt = re.compile(r'\d{5}-\d{4}')

# Task

# Given a string with a lot of indian phone numbers starting from +91




matches = patt.finditer(mystr)

for match in matches

    print(match)

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